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Characteristics of Good Meta-Heuristic Algorithms for the Frequency Assignment Problem

Author

Listed:
  • D.H. Smith
  • S.M. Allen
  • S. Hurley

Abstract

Most writers on frequency assignment algorithms have described the details of a single algorithm, and evaluated the algorithm on selected data sets. There has been relatively little emphasis on describing the common features that are important if an algorithm is to have good performance. This paper describes the key features, with particular emphasis on algorithms for weighted fixed spectrum problems. The use of algorithms handling weighted constraints has become increasingly common in recent years. The advantages and disadvantages of weighting constraints are demonstrated. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • D.H. Smith & S.M. Allen & S. Hurley, 2001. "Characteristics of Good Meta-Heuristic Algorithms for the Frequency Assignment Problem," Annals of Operations Research, Springer, vol. 107(1), pages 285-301, October.
    • Handle: RePEc:spr:annopr:v:107:y:2001:i:1:p:285-301:10.1023/a:1014919603430
    DOI: 10.1023/A:1014919603430
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